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Top remote Svm classifiers developers and experts available to hire:

Remote Svm classifiers consultant - Abhishek S.
Abhishek S.

Remote Svm classifiers developer in the United States (UTC-6)

• Data Scientist with 5+ years of experience in building scalable machine learning models, NLP pipelines, and real-time analytics solutions using Python, SQL, R, and cloud technologies (AWS, Azure, GCP). • Proficient in supervised and unsupervised learning algorithms including XGBoost, Random Forest, SVM, K-Means, LSTM, and deep learning models using TensorFlow and PyTorch. • Expertise in Natural Language Processing (NLP) with LLMs, spaCy, NLTK, and Hugging Face Transformers for sentiment analysis, text classification, and semantic search. • Hands-on experience in developing and automating end-to-end ML pipelines using PySpark, Databricks, and cloud-native tools like AWS SageMaker and Azure Data Factory. • Strong background in statistical analysis, A/B testing, and time series forecasting using ARIMA, Prophet, and hypothesis testing techniques to drive data-driven decision-making. • Skilled in integrating visual analytics through Power BI, Tableau, and Excel to present complex insights and model results to cross functional teams and stakeholders. • Adept at handling big data and structured/unstructured datasets using SQL, Snowflake, MongoDB, and data lakes, ensuring efficient data ingestion, transformation, and storage.

Remote Svm classifiers developer - Naga K.
Naga K.

Remote Svm classifiers developer in the United States (UTC-4)

An experienced and results-driven AI/ML Engineer with over 5 years of proven success in building, scaling, and deploying cutting-edge Machine Learning and Generative AI solutions. Specializes in Large Language Model (LLM) agent development using LangChain, AutoGen, and CrewAI. Expertise in end-to-end ML pipeline development, from data ingestion to model serving. Proficient in classical ML algorithms including XGBoost, SVM, Random Forest, and Neural Networks Advanced Deep Learning practitioner with hands-on experience in TensorFlow, PyTorch, and Keras Strong command of Generative AI APIs such as OpenAI, Anthropic, Claude, and Gemini Developed and deployed Retrieval-Augmented Generation (RAG) pipelines using FAISS and Pinecone Built cloud-native AI systems on AWS, Azure, and GCP with strong emphasis on scalability and automation Adept in CI/CD automation using Docker, Kubernetes, GitHub Actions, and YAML pipelines Emphasis on Explainable AI (XAI) using tools such as SHAP, LIME, and Power BI Designed NLP solutions leveraging Azure LUIS, Custom Vision, OCR, and Microsoft Bot Framework Architected multi-agent frameworks to drive autonomous orchestration and intelligent task handling Built intelligent LLM-powered chatbots that enhanced internal operational workflows Hands-on experience with relational and NoSQL databases including SQL, Cassandra, PostgreSQL, and Oracle Delivered dynamic data visualization dashboards using Tableau, Power BI, and Seaborn Experienced in Big Data ecosystems including Hadoop, MapReduce, Hive, Spark, and Kafka

Remote Svm classifiers expert - ayesha S.
ayesha S.

Remote Svm classifiers developer in Germany (UTC+2)

Hello, my name is Ayesha Sadiqa, and I am a Software Engineer. I have 4+ of experience in building and maintaining applications using React. I have a deep understanding of JavaScript and the component-based architecture of React, as well as the principles of front-end development. I have expertise in writing reusable and composable components, managing state, and integrating with APIs and other data sources. I have a strong understanding of modern front-end development tools and technologies, including npm, Webpack, and Babel, and I have experience setting up and configuring build and development environments. I am a team player and I enjoy collaborating with designers, product managers, and other stakeholders to build high-performing, scalable, and maintainable React applications that deliver value to users and organizations. I am constantly learning and adapting to new technologies and trends in the React ecosystem, and I am passionate about technology and the impact it can have on people's lives.

Remote Svm classifiers architect - Santiago B.
Santiago B.

Remote Svm classifiers developer in Colombia (UTC-5)

I am a passionate software engineer with experience in backend development, web applications using Python and Flask, machine learning platforms, APIs, databases, and CI/CD deployment. Skilled in various programming languages and frameworks, with a strong focus on problem-solving and teamwork. Graduated with a degree in Software Engineering and proficient in Spanish and English.

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Why clients hire Svm classifiers developers with Arc

Without Arc by my side, I would be wasting a lot of time looking for and vetting talent. I'm not having to start a new talent search from scratch. Instead, I’m able to leverage the talent pool that Arc has created.
Mitchum Owen
Mitchum Owen
President of Milo Digital
The process of filling our position took less than a week and they found us a superstar. They've had the flexibility to meet our specific needs every step of the way and their customer service has been top-notch since day one.
Matt Gysel
Matt Gysel
Finance & Strategy at BaseVenture
The biggest advantage and benefit of working with Arc is the tremendous reduction in time spent sourcing quality candidates. We’re able to identify the talent in a matter of days.
Philip Tsai
Philip Tsai
Director of Engineering at Chegg

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FAQs

Why hire a Svm classifiers developer?

In today’s world, most companies have code-based needs that require developers to help build and maintain. For instance, if your business has a website or an app, you’ll need to keep it updated to ensure you continue to provide positive user experiences. At times, you may even need to revamp your website or app. This is where hiring a developer becomes crucial.

Depending on the stage and scale of your product and services, you may need to hire a Svm classifiers developer, multiple engineers, or even a full remote developer team to help keep your business running. If you’re a startup or a company running a website, your product will likely grow out of its original skeletal structure. Hiring full-time remote Svm classifiers developers can help keep your website up-to-date.

How do I hire Svm classifiers developers?

To hire a Svm classifiers developer, you need to go through a hiring process of defining your needs, posting a job description, screening resumes, conducting interviews, testing candidates’ skills, checking references, and making an offer.

Arc offers three services to help you hire Svm classifiers developers effectively and efficiently. Hire full-time Svm classifiers developers from a vetted candidates pool, with new options every two weeks, and pay through prepaid packages or per hire. Alternatively, hire the top 2.3% of expert freelance Svm classifiers developers in 72 hours, with weekly payments.

If you’re not ready to commit to the paid plans, our free job posting service is for you. By posting your job on Arc, you can reach up to 450,000 developers around the world. With that said, the free plan will not give you access to pre-vetted Svm classifiers developers.

Furthermore, we’ve partnered with compliance and payroll platforms Deel and Remote to make paperwork and hiring across borders easier. This way, you can focus on finding the right Svm classifiers developers for your company, and let Arc handle the logistics.

Where do I hire the best remote Svm classifiers developers?

There are two types of platforms you can hire Svm classifiers developers from: general and niche marketplaces. General platforms like Upwork, Fiverr, and Gigster offer a variety of non-vetted talents unlimited to developers. While you can find Svm classifiers developers on general platforms, top tech talents generally avoid general marketplaces in order to escape bidding wars.

If you’re looking to hire the best remote Svm classifiers developers, consider niche platforms like Arc that naturally attract and carefully vet their Svm classifiers developers for hire. This way, you’ll save time and related hiring costs by only interviewing the most suitable remote Svm classifiers developers.

Some factors to consider when you hire Svm classifiers developers include the platform’s specialty, developer’s geographical location, and the service’s customer support. Depending on your hiring budget, you may also want to compare the pricing and fee structure.

Make sure to list out all of the important factors when you compare and decide on which remote developer job board and platform to use to find Svm classifiers developers for hire.

How do I write a Svm classifiers developer job description?

Writing a good Svm classifiers developer job description is crucial in helping you hire Svm classifiers developers that your company needs. A job description’s key elements include a clear job title, a brief company overview, a summary of the role, the required duties and responsibilities, and necessary and preferred experience. To attract top talent, it's also helpful to list other perks and benefits, such as flexible hours and health coverage.

Crafting a compelling job title is critical as it's the first thing that job seekers see. It should offer enough information to grab their attention and include details on the seniority level, type, and area or sub-field of the position.

Your company description should succinctly outline what makes your company unique to compete with other potential employers. The role summary for your remote Svm classifiers developer should be concise and read like an elevator pitch for the position, while the duties and responsibilities should be outlined using bullet points that cover daily activities, tech stacks, tools, and processes used.

For a comprehensive guide on how to write an attractive job description to help you hire Svm classifiers developers, read our Engineer Job Description Guide & Templates.

What skills should I look for in a Svm classifiers developer?

The top five technical skills Svm classifiers developers should possess include proficiency in programming languages, understanding data structures and algorithms, experience with databases, familiarity with version control systems, and knowledge of testing and debugging.

Meanwhile, the top five soft skills are communication, problem-solving, time management, attention to detail, and adaptability. Effective communication is essential for coordinating with clients and team members, while problem-solving skills enable Svm classifiers developers to analyze issues and come up with effective solutions. Time management skills are important to ensure projects are completed on schedule, while attention to detail helps to catch and correct issues before they become bigger problems. Finally, adaptability is crucial for Svm classifiers developers to keep up with evolving technology and requirements.

What kinds of Svm classifiers developers are available for hire through Arc?

You can find a variety of Svm classifiers developers for hire on Arc! At Arc, you can hire on a freelance, full-time, part-time, or contract-to-hire basis. For freelance Svm classifiers developers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote Svm classifiers developers for hire, you can expect to make a successful hire in 14 days. To extend a freelance engagement to a full-time hire, a contract-to-hire fee will apply.

In addition to a variety of engagement types, Arc also offers a wide range of developers located in different geographical locations, such as Latin America and Eastern Europe. Depending on your needs, Arc offers a global network of skilled engineers in various different time zones and countries for you to choose from.

Lastly, our remote-ready Svm classifiers developers for hire are all mid-level and senior-level professionals. They are ready to start coding straight away, anytime, anywhere.

Why is Arc the best choice for hiring Svm classifiers developers?

Arc is trusted by hundreds of startups and tech companies around the world, and we’ve matched thousands of skilled Svm classifiers developers with both freelance and full-time jobs. We’ve successfully helped Silicon Valley startups and larger tech companies like Spotify and Automattic hire Svm classifiers developers.

Every Svm classifiers developer for hire in our network goes through a vetting process to verify their communication abilities, remote work readiness, and technical skills. Additionally, HireAI, our GPT-4-powered AI recruiter, enables you to get instant candidate matches without searching and screening.

Not only can you expect to find the most qualified Svm classifiers developer on Arc, but you can also count on your account manager and the support team to make each hire a success. Enjoy a streamlined hiring experience with Arc, where we provide you with the developer you need, and take care of the logistics so you don’t need to.

How does Arc vet a Svm classifiers developer's skills?

Arc has a rigorous and transparent vetting process for all types of developers. To become a vetted Svm classifiers developer for hire on Arc, developers must pass a profile screening, complete a behavioral interview, and pass a technical interview or pair programming.

While Arc has a strict vetting process for its verified Svm classifiers developers, if you’re using Arc’s free job posting plan, you will only have access to non-vetted developers. If you’re using Arc to hire Svm classifiers developers, you can rest assured that all remote Svm classifiers developers have been thoroughly vetted for the high-caliber communication and technical skills you need in a successful hire.

How long does it take to find Svm classifiers developers on Arc?

Arc pre-screens all of our remote Svm classifiers developers before we present them to you. As such, all the remote Svm classifiers developers you see on your Arc dashboard are interview-ready candidates who make up the top 2% of applicants who pass our technical and communication assessment. You can expect the interview process to happen within days of posting your jobs to 450,000 candidates. You can also expect to hire a freelance Svm classifiers developer in 72 hours, or find a full-time Svm classifiers developer that fits your company’s needs in 14 days.

Here’s a quote from Philip, the Director of Engineering at Chegg:

“The biggest advantage and benefit of working with Arc is the tremendous reduction in time spent sourcing quality candidates. We’re able to identify the talent in a matter of days.”

Find out more about how Arc successfully helped our partners in hiring remote Svm classifiers developers.

How much does a freelance Svm classifiers developer charge per hour?

Depending on the freelance developer job board you use, freelance remote Svm classifiers developers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find Svm classifiers developers for hire at as low as $10 per hour. However, high-quality freelance developers often avoid general freelance platforms like Fiverr to avoid the bidding wars.

When you hire Svm classifiers developers through Arc, they typically charge between $60-100+/hour (USD). To get a better understanding of contract costs, check out our freelance developer rate explorer.

How much does it cost to hire a full time Svm classifiers developer?

According to the U.S. Bureau of Labor Statistics, the medium annual wage for developers in the U.S. was $120,730 in May 2021. What this amounts to is around $70-100 per hour. Note that this does not include the direct cost of hiring, which totals to about $4000 per new recruit, according to Glassdoor.

Your remote Svm classifiers developer’s annual salary may differ dramatically depending on their years of experience, related technical skills, education, and country of residence. For instance, if the developer is located in Eastern Europe or Latin America, the hourly rate for developers will be around $75-95 per hour.

For more frequently asked questions on hiring Svm classifiers developers, check out our FAQs page.

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